Bakır, G.; Wu, M.; Eichhorn, J.: Maximum-Margin Feature Combination for Detection and Categorization. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 8 pp.

Bos, J.; Groen, E.; Nooij, S.: Further thoughts on and calculations by spatial orientation an motion sickness modeling. Toegepast Natuurwetenschappelijk Onderzoek (TNO) Human Factors, Soesterberg, The Netherlands (2005)

Kuss, M.; Jäkel, F.; Wichmann, F.: Approximate Bayesian Inference for Psychometric Functions using MCMC Sampling (Technical Report of the Max Planck Institute for Biological Cybernetics, 135). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 30 pp.

Nooij, S.; Bos, J.; Groen, E.: Persoonsidentificatie d.m.v. oogbewegingen: een haalbaarheidsstudie. Toegepast Natuurwetenschappelijk Onderzoek (TNO) Human Factors, Soesterberg, The Netherlands (2005)

von Luxburg, U.; Belkin, M.; Bousquet, O.: Consistency of Spectral Clustering (Technical Report of the Max Planck Institute for Biological Cybernetics, 134). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 34 pp.

von Luxburg, U.; Franz, V.: Confidence Sets for Ratios: A Purely Geometric Approach To Fieller's Theorem (Technical Report of the Max Planck Institute for Biological Cybernetics, 133). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 11 pp.

Weston, J.; Bakir, G.: Fast Binary and Multi-Output Reduced Set Selection (Technical Report of the Max Planck Institute for Biological Cybernetics, 132). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 12 pp.

Weston, J.; Schölkopf, B.; Bousquet, O.; Mann; Noble, W.: Joint Kernel Maps (Technical Report of the Max Planck Institute for Biological Cybernetics, 131). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 9 pp.

Gretton, A.; Smola, A.; Bousquet, O.; Herbrich, R.; Schölkopf, B.; Logothetis, N.: Behaviour and Convergence of the Constrained Covariance (Technical Report of the Max Planck Institute for Biological Cybernetics, 130). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 18 pp.

Jayachandra, M.; Logothetis, N.; Pfeuffer, J.: Comparison of experimental and theoretical spiral MR trajectories (Technical Report of the Max Planck Institute for Biological Cybernetics, 129). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 20 pp.

Shapiro, M.; Blaschko, M.: On Hausdorff Distance Measures. University of Massachusetts Amherst, Amherst, MA, USA (2004)

Yu, K.; Tresp, V.; Zhou, D.: Semi-Supervised Induction (Technical Report of the Max Planck Institute for Biological Cybernetics, 141). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 9 pp.

Zhou, D.; Schölkopf, B.: Transductive Inference with Graphs. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 8 pp.

Bakir, G.; Gretton, A.; Franz, M.; Schölkopf, B.: Multivariate Regression with Stiefel Constraints (Max Planck Institute for Biological Cybernetics, 128). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 25 pp.

Eichhorn, J.; Chapelle, O.: Object categorization with SVM: kernels for local features (Technical Report of the Max Planck Institute for Biological Cybernetics, 137). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 9 pp.

Hein, M.; Bousquet, O.: Hilbertian Metrics and Positive Definite Kernels on Probability Measures (Max Planck Institute for Biological Cybernetics, 126). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 8 pp.

Hein, M.; Bousquet, O.: Kernels, Associated Structures and Generalizations (Technical Report of the Max Planck Institute for Biological Cybernetics, 127). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 14 pp.

Kleiner, M.; Wallraven, C.; Bülthoff, H.: The MPI VideoLab: A system for high quality synchronous recording of video and audio from multiple viewpoints (Technical Report of the Max Planck Institute for Biological Cybernetics, 123). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 20 pp.

Sinz, F.: Kamerakalibrierung und Tiefenschätzung: Ein Vergleich von klassischer Bündelblockausgleichung und statistischen Lernalgorithmen. Wilhelm-Schickard-Institut für Informatik, Lehrstuhl für technische Informatik, Tübingen, Germany (2004), 50 pp.

Zhou, D.; Schölkopf, B.: Learning from Labeled and Unlabeled Data Using Random Walks. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 12 pp.